AI Platform Lead Engineer-IN
The AI Platform Lead Engineer builds and maintains the systems that support AI and machine learning applications, working to ensure the systems are scalable, effective, and reliable.
Key Responsibilities and Duties• Deploy, manage and scale AI systems, as well as support model activity and deployment infrastructure in cloud settings
• Work with infrastructure and application development teams, data engineers, and model owners, to better integrate the AI applications into mainstream enterprise applications.
• Put into production the ML models keeping in mind the scalability, optimization, resource availability, and security for the AI solution.
Educational Requirements• University (Degree) Preferred
Work Experience• 5+ Years Required; 7+ Years Preferred
Physical Requirements• Physical Requirements: Sedentary Work
Career Level
8IC
Total experience required : Between 9 to 15 Years
Job location : Mumbai / Pune
Responsibilities
• Design and implement end-to-end Generative AI solutions that address complex business challenges,
with a solid focus on scalability, reliability, and production readiness.
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines by integrating vector databases such as Pinecone, Weaviate, and FAISS with embedding models and large language models (LLMs) to deliver context-aware, knowledge-grounded responses at scale.
• Develop and optimize prompting strategies, templates, and workflows that maximize LLM accuracy, consistency, and performance across diverse use cases and user scenarios.
• Customize and fine-tune foundation models using techniques such as supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and parameter-productive methods including LoRA and QLoRA to meet domain-specific performance requirements.
• Establish and maintain rigorous model evaluation frameworks that measure accuracy, latency, cost-efficiency, hallucination rates, and task-specific metrics
📌 Senior Associate Pune (India)
🏢 TIAA
📍 India